Enabling Fog-Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT-Cloud Platform...

Area of Science:

• Computer Science
• Electrical Engineering
• Intelligent Transportation Systems

Background:

• Smart parking systems leverage IoT and blockchain for enhanced automation.
• Existing systems face challenges in efficiency, privacy, and security.
• Autonomous vehicles (AVs) require robust parking solutions.

Purpose of the Study:

• To propose a smart autonomous vehicle parking (SAVP) system.
• To integrate fog computing and blockchain for improved performance.
• To address privacy and security concerns in AV parking.

Main Methods:

• Developed an SAVP system utilizing fog computing as a middleware layer.
• Implemented a lightweight integrated blockchain and cryptography (LIBC) module for access control.
• Conducted a proof-of-concept implementation to evaluate system performance.

Main Results:

• The SAVP system demonstrated high efficiency in terms of average response time, throughput, privacy, and security.
• The LIBC module effectively managed AV access during all parking phases.
• The system proved to be a scalable and cost-effective solution.

Conclusions:

• The proposed SAVP system offers a robust and secure parking solution for autonomous vehicles.
• Fog computing and blockchain integration significantly enhance smart parking capabilities.
• This research provides a foundation for future scalable smart parking infrastructure.